Senior Agent Engineer

November 26

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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Poggio Labs

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SaaS • Enterprise • Artificial Intelligence

Poggio is an advanced platform designed to enhance productivity and effectiveness for enterprise sales teams. It provides tools for generating account plans, building business cases, and crafting tailored messaging, all while offering real-time monitoring of accounts to provide strategic insights and timely alerts. With Poggio, sales teams can significantly reduce manual preparation time and accelerate their sales cycles by leveraging the platform's AI-driven capabilities. This tool is trusted by enterprise sales teams to deliver actionable intelligence quickly, improving customer engagement and increasing sales efficiency.

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 $6M Seed Round on 2021-07

📋 Description

• Help us extend and scale the foundations of our AI system in order to power new user capabilities and provide the best possible AI user experience for our customers • Work directly with subject-matter experts to build ground-truth datasets for eval calibration • Implement support for emerging agent interoperability standards such as MCP and A2A • Optimize data extraction performance of document pipelines • Work directly on agent performance: develop robust retrieval planning algorithms and tool interfaces • Augment our system's multi-modality capabilities (read/write audio, video, diagrams, structured documents)

🎯 Requirements

• Analytical thinking, creative problem solving, product orientation, and strong collaboration • Track record of partnering successfully with cross-functional stakeholders • Expert level proficiency in multiple programming languages, including modern Python • A nuanced understanding of the capabilities and limitations of large language models, gained through hands-on experience • Experience with LLM observability and SME-aligned AI system evals • Experience architecting or building data pipelines and information retrieval systems • Working knowledge and ability to apply data processing, retention, and privacy policies

🏖️ Benefits

• Unlimited, Flexible PTO • Remote-first with option to work in co-working spaces or our SF HQ • At least biannual off-sites to work together as a team • Health care plan (Medical, Dental, Vision) • 401k plan with employer matching • Annual Wellness Stipend: $1200 per year for your choice of wellness-related expenses such as gym memberships, massages, fitness equipment, ski pass, etc.